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Demand Forecast 需要予測システム

AI reads ahead on sales trends, eliminating waste in purchasing and ordering.

AI learns from past sales performance, day of the week, season, weather, and more to forecast how well each product is likely to sell. From manufacturers, wholesalers, and trading companies to retailers, it makes the decision of "how much to prepare" easier — and more accurate — reducing both stockouts and unsold inventory.

 

AI Demand Forecast
Example product: Mineral water / Next week's outlook
Forecasted sales~130 units
Range: 110–150 units (choose a higher number if you want to avoid stockouts)
AI Recommendation ↓
Recommended quantity 130 units
Increasing due to weekend + Decreasing due to rain − Reduced for existing stock −

AI reads ahead on sales trends, eliminating waste in purchasing and ordering.

AI learns from past sales performance, day of the week, season, weather, and more to forecast how well each product is likely to sell. From manufacturers, wholesalers, and trading companies to retailers, it makes the decision of "how much to prepare" easier — and more accurate — reducing both stockouts and unsold inventory.

AI Demand Forecast
Example product: Mineral water / Next week's outlook
Forecasted sales~130 units
Range: 110–150 units (choose a higher number if you want to avoid stockouts)
AI Recommendation ↓
Recommended quantity 130 units
Increasing due to weekend + Decreasing due to rain − Reduced for existing stock −

The Challenge

小売DXにあたってのお客様課題

"How much should we prepare?" is always a hard question

Deciding purchasing, production, and order quantities is a headache for manufacturers, trading companies/wholesalers,and retailers/stores alike.
Too much leads to unsold stock; too little leads to stockouts.

 

Experience

Relies Heavily on Experience and Intuition

Decisions on quantities rely heavily on veteran staff's experience and gut feeling. Accuracy shifts whenever the person in charge changes.

Mismatch

Over- or Under-Stocking Occurs

Misreading demand leads to excess or insufficient inventory. It's hard to consistently hit just the right number.

Loss

Both Unsold Stock and Stockouts Hurt

Leftover stock means disposal and carrying costs, while shortages mean lost sales opportunities. Either way, profits suffer.

Inconsistency

Varies by Person and Location

Decision-making standards differ by person and location, so accuracy isn't stable across the organization.

Our Solution

アジアクエストのソリューション

From Experience and Intuition to AI Forecasting

AI predicts sales performance and supports "how much to prepare" decisions with data.
Regardless of who's in charge, decisions become consistently accurate.

Before

Quantities decided by experience and intuition
Misreadings lead to over- or under-stocking
Unsold inventory, stockouts, and inconsistency between staff

After

Quantities decided based on AI forecasts
Converges on "just the right amount"
Stable accuracy regardless of who's in charge

Core Capabilities

アジアクエストの強み

Two Pillars of AI Demand Forecasting

"High forecast accuracy" and "understanding why that number was chosen.
" Together, these make forecasts that teams can trust and actually use.

01

Reads Ahead on Sales Trends

AI learns collectively from past sales performance plus day of the week, season, weather, events, and more to forecast sales for each product.

 Fine-grained forecasts by product, location, and period
 Considers multiple factors together
 Shows a range from minimum to maximum
02

Shows "Why That Number"

Not a black box left entirely to AI. It clearly shows the reasoning behind each forecast so staff can make decisions with confidence.

 Displays forecast reasoning in an easy-to-understand way
 Shows increasing and decreasing factors at a glance
 Trusted and actually used on the ground because it's transparent

Key Features Key Features

High Accuracy Meets Clarity

Usable without specialized expertise, and trusted on the ground — built with these features in mind.

Considers multiple factors

 Reads past sales alongside day of the week, season, weather, events, and more together to forecast. 

Shows the range

 Presents a range ("roughly X, up to Y at most") so you can prepare extra when avoiding stockouts matters. 

Shows forecast reasoning

Displays the factors behind increases and decreases, so decisions aren't left entirely to AI — you understand and agree with the result.

 Works for new products/locations too 

 Even with little historical data, forecasts are based on the performance of similar products or locations. 

Gets smarter with use

 Automatically improves by comparing forecasts against actual results — while final decisions remain in human hands. 

Fast and low-cost even at scale

Processes thousands of locations and products without delay, running economically on cloud costs proportional to usage.

How it works

仕組み

How Does It Forecast? ― 3 Steps

No complicated setup required. Hand over your data, and AI forecasts it, delivering results in a form that's easy to use on the ground.

01

Gather Data

Import sales performance, inventory, product information, weather, calendar data, and more. You can start with the data you already have.

02

AI Forecasts

Based on the gathered data, AI calculates "how much is likely to sell" and the reasoning behind it.

03

Deliver to the Field

View the "recommended quantity" and the reasoning behind it clearly on screen.

A Reliable Foundation:

Built on the cloud (AWS), so it scales smoothly as the number of products and locations grows.
Data is managed securely, and you only pay for what you use.

Value & Benefits アジアクエストが提供する価値とメリット

How Things Change After Implementation

Getting closer to "just the right amount" pays off both in profitability and in daily operations.

Less Unsold Stock and Fewer Stockouts

Reduces disposal costs, excess inventory, and lost sales opportunities all at once.

 

Easier Quantity Decisions

Less hesitation and effort — anyone can decide quantities quickly.

 

Less Variation Between Staff

Maintains stable accuracy even as staff or locations change.

 

Less Wasted Work

Eliminates manual aggregation and forecasting, freeing time for higher-value work.

 

New Staff Productive Right Away

Confident decisions based on AI forecasts, even without veteran intuition.

 

Decisions Backed by Numbers

Enables evidence-based decision-making instead of relying on gut feeling alone.

Anywhere in the Supply Chain: By having AI support "how much to prepare" decisions, manufacturers, trading companies/wholesalers,
and retailers alike can reduce both excess inventory and stockouts.

Why AsiaQuest アジアクエストが選ばれる理由

Why We're Chosen ― Built for Your Company, Grown Together

Rather than fitting your operations to an off-the-shelf tool, we build around your products, data, and way of working.

01

Built for Your Company

Tailored to your industry, products, and existing data situation.

02

Start Small First

Begin with a subset of products or locations, confirm the impact, then expand with confidence.

03

Simple to Use, Hands-On Support

Designed to be usable without specialized expertise, with continuous improvement together after rollout.

04

Solid Technical Foundation

Backed by 400+ engineers and proven AWS experience, supporting a secure system that keeps running as it scales.

How to Start アジアクエストが選ばれる理由 

Approach ― Start Small, Then Expand

Rather than rolling out company-wide right away, start with a limited scope, confirm the results, then expand with confidence.

Pilot Verification
Some products/locations

Check the impact

Try It First

Narrow the scope, verify AI forecast accuracy, and assess how useful it is.

Trial Operation
Expand scope

Use in the field

Use It in Real Operations

Broaden scope and refine the screen and usability while using it in actual work.

Full Operation
Company-wide

Company-wide rollout

Roll Out Company-Wide

Deploy across the entire company, carrying forward the accuracy and workflow fit confirmed during the pilot and trial phases. 

※ The approach and timeline are flexibly adjusted based on verification results and on-the-ground feedback.

Ready to Solve "How Much to Prepare"
with AI?

We'll propose an approach to AI demand forecasting tailored to your data and products.

Inquiries at the concept stage are also welcome.